Constant Contact - State College, PA

posted about 1 month ago

Full-time - Principal
Remote - State College, PA
Professional, Scientific, and Technical Services

About the position

The Principal Data Engineer/Architect at Constant Contact will collaborate with the Data Platform and Segmentation teams to enhance data processing capabilities and integration velocity. This role involves developing business requirements, standardizing inputs, and creating a long-term vision for data utilization. The position is pivotal in building and maintaining data pipelines and lakes that support Data Science, Machine Learning, and AI initiatives, as well as real-time segmentation and marketing automation.

Responsibilities

  • Work closely with Data Science/ML/AI teams to leverage and provide access to vast data for marketing insights.
  • Define data strategies and leverage the latest technologies in data processing and analytics with cross-functional teams.
  • Design, implement, and build data models and pipelines that deliver data with measurable quality under service level agreements.
  • Develop improvements to data integration practices, analytics, and real-time stream processing.
  • Scope and prioritize solutions in collaboration with teams and stakeholders.
  • Establish rigorous engineering processes to ensure service quality and continuous improvement.

Requirements

  • 8+ years of experience in business analytics, data science, software development, data modeling, and/or data engineering.
  • 3+ years of experience creating high-quality data pipelines.
  • Proficiency in Java, Python, and SQL.
  • Strong understanding of OLAP concepts and experience with OLAP technologies such as ClickHouse, Druid, or Pinot.
  • Familiarity with search technologies like Elasticsearch for real-time applications.
  • Experience orchestrating data pipelines with technologies such as Airflow, Dagster, or NiFi.
  • Familiarity with stream-processing frameworks such as Apache Flink.
  • Experience with AWS cloud services including Kinesis, Glue, S3, Lambda, API Gateway, DynamoDB, and Athena.
  • Experience with Docker and Kubernetes.
  • Certification in AWS Cloud (AWS Certified Solutions Architect or similar).

Benefits

  • Health and welfare benefits including paid leave.
  • Generous paid time off policy.
  • Opportunities for professional development and career growth.
  • Work flexibility with a hybrid work model.
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